Pulmonary Function Data: Gene Expression Profiles for COPD Biomarker Discovery

Gene expression data from combined datasets GSE37768 and GSE38974 used to identify biomarkers for Chronic Obstructive Pulmonary Disease (COPD). The dataset was created by Fengjun Zhang and last updated on 2026-05-21. It is a small dataset of 5.5 KB, stored in an XLS file.

Use Cases

• Identify differentially expressed genes (DEGs) for COPD based on the combined gene expression datasets.
• Build machine learning models for COPD diagnosis using the screened diagnostic molecular biomarkers.
• Analyze immune cell composition and pathway involvement for COPD using the CIBERSORT and enrichment analysis results.
• Validate potential biomarkers like ITGB2 and HNRNPAB through experimental follow-up studies.

Strengths

• Data is derived from two specific gene expression datasets (GSE37768 and GSE38974), providing a concrete source.
• The study employed multiple validation methods (PCR, IHC, IF) for identified biomarkers.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Data from combined datasets GSE37768 and GSE38974, analyzed with bioinformatics and machine learning techniques.

Freshness

Last updated 2026-05-21 17:29:53; freshness should be verified.